Introduction-to-Statistical-Learning

models

Analysis on data sets with R programming -Linear Regression ,LDA,QDA,KNN ,Navie Bayes ,SVM & Time Forecasting

How to download and setup Introduction-to-Statistical-Learning

Open terminal and run command

git clone https://github.com/PragathiThammaneni/Introduction-to-Statistical-Learning.git

git clone is used to create a copy or clone of Introduction-to-Statistical-Learning repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with Introduction-to-Statistical-Learning https://github.com/PragathiThammaneni/Introduction-to-Statistical-Learning/archive/master.zip

Or simply clone Introduction-to-Statistical-Learning with SSH

[email protected]:PragathiThammaneni/Introduction-to-Statistical-Learning.git

If you have some problems with Introduction-to-Statistical-Learning

You may open issue on Introduction-to-Statistical-Learning support forum (system) here: https://github.com/PragathiThammaneni/Introduction-to-Statistical-Learning/issues

Similar to Introduction-to-Statistical-Learning repositories

Here you may see Introduction-to-Statistical-Learning alternatives and analogs

django Awesome-CoreML-Models ardent laravel-model-caching Coolie acts_as_api plank vue-mc vectiler models spacy-models jsonmodels dynamic-training-bench laravel-model-cleanup sourced django-behaviors chainer-fast-neuralstyle-models NestedTypes gama hydro-serving felicity reobject tango vue-example Pytorch-Model-Zoo models osprey ImageRecognizer-Android COLLADAViewer2 Torch-Models